Moist Physics Parameterization
Moist Physics Parameterization is a computational method in atmospheric modeling that represents subgrid-scale processes involving phase changes of water, cloud microphysics, and latent heat transfer, distinguishing it from other physical parameterizations by its focus on moisture-related thermodynamic and dynamic interactions within the atmosphere.
120
Publications
7.9K
Citations
320
Authors
128
Institutions
Publications per year
2017–2026
27
Parents
120
The AROME-France Convective-Scale Operational Model
Yann Seity, Pierre Brousseau, Sylvie Malardel et al. · Monthly Weather Review · 2010 · 1.1K citations · Full text
Gerald A. Meehl, Curt Covey, B. J. McAvaney et al. · Bulletin of the American Meteorological Society · 2005 · 282 citations
1–5 of 120
320
5
h-index
NSF National Center for Atmospheric Research, United States
5 publications · 223 citations
5
h-index
Allen Institute for Artificial Intelligence, United States
4 publications · 494 citations
4
h-index
3
h-index
3
h-index
1–5 of 320
128
Goddard Space Flight Center
Greenbelt, United States
9 h-index
25 publications
989 citations

NSF National Center for Atmospheric Research
Boulder, United States
9 h-index
21 publications
1.2K citations
University of Washington
Seattle, United States
7 h-index
12 publications
1K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
6 h-index
18 publications
2K citations
Tsinghua University
Beijing, China
5 h-index
17 publications
1.2K citations
NOAA Geophysical Fluid Dynamics Laboratory
Princeton, United States
4 h-index
8 publications
386 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
590 citations
Météo-France
Toulouse, France
4 h-index
37 publications
12K citations
1–8 of 128
19 publications · 2.7K citations
18
h-index
12 publications · 837 citations
12
h-index
BAMS · 12 publications · 757 citations
10
h-index
10 publications · 373 citations
10
h-index
JAMES · 8 publications · 484 citations
8
h-index
1–5